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Communication-aware planning for robot teams deployment

Yaroslav Marchukov, Luis Montano

Year
2017
Citations
6

Abstract

In the present work we address the problem of deploying a team of robots in a scenario where some locations of interest must be reached. Thus, a planning for a deployment is required, before sending the robots. The obstacles, the limited communication range, and the need of communicating to a base station, constrain the connectivity of the team and the deployment planning. We propose a method consisting of three algorithms: a distributed path planner to obtain communication-aware trajectories; a deployment planner providing dual-use of the robots, visiting primary goals and performing connectivity tasks; and a clustering algorithm to allocate the tasks to robots, and obtain the best goal visit order for the mission.

Keywords

Software deploymentPlannerRobotComputer scienceMotion planningCluster analysisPath (computing)Distributed computingReal-time computingArtificial intelligence

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